Triple
T544531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Louis-Dreyfus |
E12701
|
entity |
| Predicate | starredIn |
P1668
|
FINISHED |
| Object | Onward |
E47799
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Onward | Statement: [Julia Louis-Dreyfus, starredIn, Onward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onward Context triple: [Julia Louis-Dreyfus, starredIn, Onward]
-
A.
Onward
chosen
Onward is a 2020 Pixar animated fantasy film that follows two elf brothers on a magical quest to briefly bring back their deceased father.
-
B.
Coco
Coco is a 2017 Pixar animated film that follows a young Mexican boy’s journey through the Land of the Dead as he uncovers his family’s history and celebrates Día de los Muertos.
-
C.
Turning Red
Turning Red is a 2022 Pixar animated coming-of-age film about a 13-year-old girl who transforms into a giant red panda whenever her emotions run high.
-
D.
Luca
Luca is a 2021 Pixar animated film set on the Italian Riviera that follows a young sea monster experiencing a transformative summer on land.
-
E.
Guardians
Guardians are the uniformed service members of the United States Space Force, responsible for conducting and supporting military operations in space.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498dea88881908a938fe8f2313bec |
completed | March 1, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4d042a590819096ed622dc6bcf8e4 |
completed | March 1, 2026, 11:48 p.m. |
Created at: March 1, 2026, 7:32 p.m.